In: Statistics and Probability
. Design an experiment or a survey and state how reliability of a component of your survey or experiment can be tested. Three aspects of reliability should be addressed: internal consistency stability interrater reliability
statistics
Internal consistency:
It is a method of reliability in which we judge how well the items on a test that are proposed to measure the same construct produce similar results.
If all items on a test measure the same construct or idea, then the test has internal consistency reliability.
The ranges between negative infinity and one. Coefficient alpha will be negative whenever there is greater within-subject variability than between-subject variability. Very high reliability (0.95 or higher) are not necessarily desirable, as this indicates that the items may be redundant.
Stability:
Stability is a measure of the repeatability of a test over time, that it gives the same results whenever it is used (within defined constraints, of course). Test-retest reliability is the repeatability of test over time to get same results with the same person and needs to be done to assure the stability of a test.
Types of reliability
inter-rater reliability:
It is the degree of agreement among raters. It is a score of how much homogeneity or consensus exists in the ratings given by various judges. In contrast, inter-rater reliability is a score of the consistency in ratings given by the same person across multiple instances.
it is most easily understood form of reliability, because everybody has encountered it.
values ≤ 0 as indicating no agreement
0.01 – 0.20 as none to slight,
0.21 – 0.40 as fair,
0.41 – 0.60 as moderate,
0.61– 0.80 as substantial, and 0.81 –1.00 as almost perfect agreement.
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